Letters: Machine learning algorithms for T-cell epitopes prediction

Authors:
Loris Nanni
Affiliations:
DEIS, IEIIT-CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Venue:
Neurocomputing
Year:
2006

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Abstract

The T-cell receptor, a major histocompatibility complex (MHC) molecule, and a bound antigenic peptide, play major roles in the process of antigen-specific T-cell activation. Performance of the various classifiers was compared by the area under their receiver operating characteristic curve. The fusion of machine-learning-type classifiers showed improved performance over the best results previously published in the literature. In particular, the best performance is achieved combining support vector machine and support vector data description.